Junxiang Zhang

Ministry of Health and Welfare, National Cheng Kung University

Papers

Total Citations

H-Index

About

Junxiang Zhang is a pioneering researcher at the intersection of traditional medicine and modern robotics, with a primary focus on automated acupressure therapy and robot-assisted acupuncture. His work addresses the critical challenge of precisely locating acupuncture points on the human body, developing innovative methods that can be deployed on Android platforms to guide both human practitioners and robotic arms for symptom relief. Zhang’s major contributions include creating a robust, technology-driven framework that bridges ancient healing practices with contemporary automation, enabling more consistent and accessible acupressure treatments. His most-cited papers, "Toward Automated Acupressure Therapy" (2018) and "Robot-Assisted Acupuncture" (2019), have garnered a combined 5 citations, establishing a foundational niche in medical robotics. Notably, his research holds promise for reducing practitioner fatigue and improving treatment reproducibility, potentially revolutionizing how acupressure is delivered in clinical and home settings. Zhang’s work stands as a testament to the power of interdisciplinary innovation, offering a compelling pathway for integrating artificial intelligence and robotics into holistic healthcare.